Research Article
A Deployment Method Based on Artificial Bee Colony Algorithm for UAV-Mounted Base Stations
@INPROCEEDINGS{10.1007/978-3-030-67514-1_12, author={Chen Zhang and Leyi Zhang and Yanming Liu and Lipeng Zhu and Zhenyu Xiao}, title={A Deployment Method Based on Artificial Bee Colony Algorithm for UAV-Mounted Base Stations}, proceedings={IoT as a Service. 6th EAI International Conference, IoTaaS 2020, Xi’an, China, November 19--20, 2020, Proceedings}, proceedings_a={IOTAAS}, year={2021}, month={1}, keywords={Wireless communication Unmanned aerial vehicles Aerial base stations Three-dimensional deployment}, doi={10.1007/978-3-030-67514-1_12} }- Chen Zhang
Leyi Zhang
Yanming Liu
Lipeng Zhu
Zhenyu Xiao
Year: 2021
A Deployment Method Based on Artificial Bee Colony Algorithm for UAV-Mounted Base Stations
IOTAAS
Springer
DOI: 10.1007/978-3-030-67514-1_12
Abstract
With high mobility and low cost, unmanned aerial vehicles (UAVs) are widely used in wireless communication systems. Especially in emergencies, UAVs can be used as aerial base stations (BSs) to provide wireless communication services for ground users. Aiming to reduce cost, we prefer to minimizing the number of UAVs needed to serve all users. Compared with the existing works, we take the constraints of required quality of service (QoS) and the service ability of each UAV into consideration. To solve the formulated mixed-integer programming problem, we propose a three-step method. First, to ensure each UAV can serve more users, the maximum service radius of UAVs is derived according to users’ QoS requirement. Second, we propose an artificial bee colony (ABC) algorithm based clustering method to cluster users into different groups in the horizontal direction. Third, we adjust the positions of UAVs to obtained a better communication performance of the wireless communication system. Finally, the simulation results are presented to demonstrate the superiority of the proposed method.
